code: def test_loc_getitem_boolean_series(self):
      pdf1 = pd.DataFrame(
          {"A": [0, 1, 2, 3, 4], "B": [100, 200, 300, 400, 500]},
          index=[20, 10, 30, 0, 50],
      )
      pdf2 = pd.DataFrame(
          {
              "A": [0, -1, -2, -3, -4],
              "B": [-100, -200, -300, -400, -500],
          },
          index=[20, 10, 30, 0, 50],
      )
      psdf1 = ps.from_pandas(pdf1)
      psdf2 = ps.from_pandas(pdf2)
  
      self.assert_eq(
          pdf1.loc[pdf2.A > -3].sort_index(),
          psdf1.loc[psdf2.A > -3].sort_index(),
      )
  
      self.assert_eq(
          pdf1.A.loc[pdf2.A > -3].sort_index(),
          psdf1.A.loc[psdf2.A > -3].sort_index(),
      )
  
      self.assert_eq(
          (pdf1.A + 1).loc[pdf2.A > -3].sort_index(),
          (psdf1.A + 1).loc[psdf2.A > -3].sort_index(),
      )
  
      pser = pd.Series([0, 1, 2, 3, 4], index=[20, 10, 30, 0, 50])
      psser = ps.from_pandas(pser)
      self.assert_eq(
          pser.loc[pdf2.A > -3].sort_index(),
          psser.loc[psdf2.A > -3].sort_index(),
      )
      pser.name = psser.name = "B"
      self.assert_eq(
          pser.loc[pdf2.A > -3].sort_index(),
          psser.loc[psdf2.A > -3].sort_index(),
      )
  
imports: import unittest
  import pandas
  from pyspark import pandas
  from pyspark.pandas.config import set_option, reset_option
  from pyspark.testing.pandasutils import PandasOnSparkTestCase
  from pyspark.testing.sqlutils import SQLTestUtils
label_desc: Use image node_id 16 for calling the BasicMixin obj's underlying member method code with example usage: obj.test_loc_getitem_boolean_series() without return types